TrustNShare – Data Trust Model Balancing Privacy Risk, Reputation, and Incentives
Cord Spreckelsen, Tim Schneider, Sven Festag, Sebastian Uschmann, Hamza Maatouk, Stephan Jonas, Anna E. Weber, Sven Bock, Friederike Klan · Studies in health technology and informatics · 2025
The TrustNShare project aims to facilitate health data exchange by creating a framework that balances privacy, reputation, and incentives. The approach allows for flexible privacy levels while mitigating the risks of data re-identification, supported by blockchain-based tamper-proof logging. Through a participatory development process involving stakeholders, a reputation model and incentives were established. The data trust enhances data sharing negotiations by informing participants of key factors like user reputation and privacy risks.